Best Generative AI & Agentic AI Course Training Institute

Generative AI & Agentic AI

Generative AI & Agentic AI is an advanced AI program designed to help learners build intelligent AI-powered applications using Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), Prompt Engineering, workflow automation, and modern AI frameworks. This course covers everything from AI fundamentals to deploying autonomous AI agents capable of reasoning, planning, and executing real-world tasks.

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Commercial

Industry Standard

Every 2 Weeks

New Batch Starts

Classroom / Remote

Training Modes

prompt =

"Optimize"

tokens: 24

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llm.generate()

stream: true

output

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rag_pipeline

retrieval

Generative AI & Agentic AI

REST APIs

SQL & Databases

Docker

AWS Cloud

Git & GitHub

Production Deployment

Generative AI & Agentic AI

REST APIs

SQL & Databases

Docker

AWS Cloud

Git & GitHub

Production Deployment

Program Overview

Generative AI & Agentic AI Includes

Artificial Intelligence Fundamentals

Learn the foundations of Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), and how modern AI systems are transforming industries.

Prompt Engineering

Master prompt design techniques to generate accurate, reliable, and context-aware responses from Large Language Models.

Large Language Models (LLMs)

Understand the architecture, capabilities, limitations, and practical applications of LLMs such as GPT, Gemini, and open-source models.

Generative AI

Build AI-powered applications for text generation, document summarization, image understanding, content creation, code generation, and intelligent assistants.

AI Agents

Learn to design autonomous AI agents capable of planning, reasoning, memory management, tool usage, multi-step workflows, and decision-making.

Retrieval-Augmented Generation (RAG)

Develop AI applications that retrieve information from documents and knowledge bases to provide accurate and context-aware responses.

Vector Databases

Learn document embeddings, semantic search, indexing, and vector databases such as ChromaDB, Pinecone, and FAISS.

AI Automation

Automate business workflows using AI Agents, APIs, no-code/low-code automation tools, and intelligent process automation.

AI Application Deployment

Deploy AI applications using FastAPI, Docker, cloud platforms, monitoring tools, and scalable deployment practices.

Prerequisites & Eligibility

Skills & Qualifications

This course is ideal for: • Students • Graduates • Software Developers • Data Scientists

Note: Designed for students, freshers, and IT working professionals aiming to master Generative AI & Agentic AI with commercial project experience and 100% placement support.

Key Competencies Covered

OpenAI API ChatGPT Google Gemini Hugging Face LangChain LangGraph CrewAI AutoGen ChromaDB Pinecone FAISS FastAPI

Curriculum Breakdown

Generative AI & Agentic AI Syllabus

Comprehensive hands-on modules extracted directly from our official training document.

Module 1 – AI Fundamentals

Module 1 Topic Coverage (Theory + Live Coding)

Introduction to AI

Machine Learning Basics

Deep Learning Overview

NLP Fundamentals

AI Ethics

Includes Hands-On Labs Real-World Practice

Module 2 – Python for AI

Module 2 Topic Coverage (Theory + Live Coding)

Python Basics

Data Structures

Functions

Object-Oriented Programming

File Handling

Includes Hands-On Labs Real-World Practice

Module 3 – Prompt Engineering

Module 3 Topic Coverage (Theory + Live Coding)

Prompt Design

Zero-Shot Prompting

Few-Shot Prompting

Chain-of-Thought Prompting

Prompt Optimization

Includes Hands-On Labs Real-World Practice

Module 4 – Large Language Models (LLMs)

Module 4 Topic Coverage (Theory + Live Coding)

GPT Models

Google Gemini

Hugging Face Models

Open-Source LLMs

Tokenization

Embeddings

Includes Hands-On Labs Real-World Practice

Module 5 – Generative AI

Module 5 Topic Coverage (Theory + Live Coding)

OpenAI API

Gemini API

Hugging Face

AI Chatbots

Content Generation

Document Summarization

AI Code Generation

Image Understanding

Includes Hands-On Labs Real-World Practice

Module 6 – Agentic AI

Module 6 Topic Coverage (Theory + Live Coding)

AI Agents

LangChain

LangGraph

CrewAI

AutoGen

Agent Memory

Tool Calling

Multi-Agent Systems

Planning & Reasoning

Includes Hands-On Labs Real-World Practice

Module 7 – RAG & Vector Databases

Module 7 Topic Coverage (Theory + Live Coding)

Retrieval-Augmented Generation

ChromaDB

Pinecone

FAISS

Embeddings

Semantic Search

Document Indexing

Includes Hands-On Labs Real-World Practice

Module 8 – AI Automation

Module 8 Topic Coverage (Theory + Live Coding)

Workflow Automation

AI Assistants

API Integration

Zapier

n8n

MCP Concepts

Intelligent Business Automation

Includes Hands-On Labs Real-World Practice

Module 9 – Deployment

Module 9 Topic Coverage (Theory + Live Coding)

FastAPI

Docker

Cloud Deployment

API Hosting

Monitoring

Security Best Practices

Includes Hands-On Labs Real-World Practice

Practical Labs

Projects You'll Build

Build commercial portfolio-grade applications during your training.

AI Chatbot with LangChain

Build an intelligent customer support chatbot using LangChain, OpenAI API, and custom knowledge base.

Enterprise RAG System

Develop a Retrieval-Augmented Generation system using Vector Databases (ChromaDB/Pinecone) to search enterprise documents.

Autonomous AI Research Agent

Create an autonomous multi-agent system capable of web search, summarizing papers, and generating reports.

AI Code Assistant & Reviewer

Build a code generation and bug analysis tool using LLMs and automated prompt engineering.

AI Content & Marketing Generator

Develop a multi-format content generator for blog posts, social media, and ad copies with brand style consistency.

Multimodal Vision & Voice Assistant

Create an AI assistant that processes image inputs and provides voice-enabled conversational responses.

Got Questions?

We are here to help.

Everything you need to know before enrolling in the Generative AI & Agentic AI program.

01 What is Generative AI & Agentic AI?

Generative AI focuses on creating content such as text, code, images, and documents using AI models, while Agentic AI enables autonomous AI systems that can reason, plan, use tools, and complete multi-step tasks with minimal human intervention.

02 Who can join this course?

Students, graduates, software developers, working professionals, entrepreneurs, and anyone interested in modern AI technologies can join this course.

03 Do I need Python knowledge?

Basic Python knowledge is helpful, but not mandatory. The course includes Python fundamentals required for AI development.

04 Will I work on real-world AI projects?

Yes. You'll build AI chatbots, AI agents, document analyzers, workflow automation systems, RAG applications, and intelligent business solutions.

05 Does this course include Agentic AI?

Yes. The curriculum covers LangChain, LangGraph, CrewAI, AutoGen, AI Agents, memory, planning, reasoning, tool calling, and multi-agent architectures.

06 Will I learn Generative AI and ChatGPT integration?

Yes. You'll learn Prompt Engineering, OpenAI API, ChatGPT integration, Google Gemini API, Hugging Face, Vector Databases, LangChain, and RAG-based application development.

07 What AI tools and frameworks are covered?

• OpenAI API • ChatGPT • Google Gemini • Hugging Face • LangChain • LangGraph • CrewAI • AutoGen • ChromaDB • Pinecone • FAISS • FastAPI • Docker • Git & GitHub • Zapier • n8n

08 Is placement assistance provided?

Yes. We provide resume building, portfolio development, mock interviews, real-world project experience, internship opportunities, career guidance, and placement assistance.

09 Will I receive a course completion certificate?

Yes. Upon successful completion of the course and project work, students receive a Course Completion Certificate. Internship certificates may also be awarded based on eligibility.

10 What career opportunities are available after completing this course?

After completing the Generative AI & Agentic AI course, you can pursue roles such as: • Generative AI Developer • AI Application Developer • Agentic AI Engineer • AI Automation Engineer • LLM Engineer • Prompt Engineer • AI Solutions Developer • NLP Engineer • AI Integration Engineer • AI Research Engineer • Conversational AI Developer • AI Product Engineer • Machine Learning Engineer • AI Consultant • Intelligent Automation Developer

Still have questions about this course?

Speak directly with our senior course advisors to customize your learning path.

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